• Develop software and applications based on ML algorithms • Help to build the company core products (client/server side) • Implement data processing and management pipelines • Measure and accelerate processing time of queries • Build a scalable backend composed of many algorithms, provided by our AI team • Help to keep abreast of innovation in the field • Help us find and technically lead excellent professionals to grow the team

• Responsible for building and supporting applications, working in multidisciplinary agile teams. • Writing clean, maintainable, extensible, efficient and secure code while adhering to company coding standards and best practices. • Maintain a high degree of knowledge on current technologies, tools and design principles. • Ability to absorb, review and contribute to Analysis and Requirement capture documents. • Contribute to project task estimation and ensure these projects are delivered within agreed timelines. • Regularly report progress, issues and any impediments via stand-ups, time/tasks recording tools and with team leads and project management. • Proactive and forward-thinking approach to drive continuous improvement of company product

Company: Persist Ventures Location: Remote (Worldwide) Type: Full-Time  What You’ll Do: - Build clean, intuitive interfaces for AI-powered products - Turn complex systems into simple, user-friendly experiences - Improve onboarding (reduce friction like API keys, setup steps, etc.) - Handle real-world product issues: - Disconnections - Rate limits - Error recovery & fallbacks Ship features like: - Multi-chat interfaces - Simple dashboards (hide unnecessary technical details) - Smooth web & desktop experiences

● **Product Strategy & Roadmap:** Partner with Product Managers, Business Analysts, and key stakeholders (Finance, Operations) to define the vision, strategy, and roadmap for critical data products. ● **Requirements & Design:** Translate high-level business objectives and user needs into detailed, clear, and actionable data requirements, architecture, and technical designs for data products. ● **Data Pipeline Development:** Design, build, and maintain highly scalable and reliable ETL/ELT data pipelines using modern cloud tools (e.g., Azure Data Factory, AWS Glue, Databricks, PySpark) to integrate diverse data sources. ● **Data Modeling & Warehousing:** Develop and optimize performant data models (Star/Snowflake schema) in cloud data warehouses (e.g., Snowflake, BigQuery, Synapse) with a focus on data quality, governance, and compliance. ● **Quality & Governance:** Implement data quality checks, data lineage tracking (e.g., dbt), and robust testing to ensure the accuracy and trustworthiness of all delivered data products. ● **Visualization & Adoption:** Lead the delivery of BI solutions (e.g., Power BI, Tableau), ensuring dashboards and reports are intuitive, accurate, and drive measurable business decisions. ● **Deployment & Operations:** Utilize Agile methodologies and CI/CD practices (e.g., GitHub, Azure DevOps, Jenkins) to deploy, monitor, and optimize data products, ensuring high availability and cost efficiency. ● **Mentorship & Collaboration:** Act as a technical leader, mentoring junior team members and fostering a culture of data-as-a-product within the organization.